The hmm package

[Tags: bsd3, library]

Data.HMM is a library for using Hidden Markov Models with Haskell. Commonly used algoriths (i.e. the forward and backwards algorithms, Viterbi, and Baum-Welch) are implemented. The best way to learn to use it is to visit the tutorial at http://izbicki.me/blog/using-hmms-in-haskell-for-bioinformatics. The tutorial also includes performance benchmarks that you should be aware of.


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Versions0.1, 0.1.1, 0.2.1, 0.2.1.1
Dependenciesarray, base (==4.*), data-memocombinators, list-extras, logfloat
LicenseBSD3
AuthorMike Izbicki
Maintainermike@izbicki.me
CategoryAlgorithms, Data mining, Machine learning
Home pagehttps://github.com/mikeizbicki/hmm
Upload dateMon Mar 26 19:37:56 UTC 2012
Uploaded byMikeIzbicki
Downloads323 total (28 in last 30 days)

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